Combining Experimental and Simulation Techniques to Understand Morphology Control in Pentapeptide Nanostructures

Design and Characterization of pH-Responsive DGEA-Derived Peptide Scaffolds: A Comprehensive Molecular Dynamics Simulation Study

Peptide-based, functionally active, stimuli-responsive biomaterials hold immense potential for diverse biomedical applications. Functionally active motifs of extracellular matrix (ECM) proteins, when conjugated with self-assembling peptides (SAP) or polymers, demonstrate significant promise in the development of such bioactive scaffolds. However, synthesis complexity, high associated costs, limited functionality, and potential immune responses present significant challenges. This study explores collagen-I-derived DGEA motif-based SAPs, incorporating modifications such as salt bridge pairing, charged and polar residues, hydrophobic residues, amyloidogenic sequences, and non-ECM motifs, to develop stimuli-responsive, functionally active scaffolds. Extensive molecular dynamics (MD) simulations, totaling 16.7 μs, were conducted on 20 systematically designed peptide systems. These simulations also characterized the stimuli-responsive properties of the peptides, focusing on pH and temperature responsiveness. Among the 20 designs, three peptide systems─DGEA-SBD, DGEA-SBE (salt-bridge modifications), and DGEA-F4 (with hydrophobic residue addition at the C-terminus)─successfully formed large, stable, and bioactive scaffolds. These systems exhibited enhanced aggregation (greater than 90%) and improved interpeptide hydrogen bonding (more than 30 bonds) while maintaining the accessibility of functional motifs (60-70% availability) compared to the unmodified DGEA motif. Notably, the DGEA-SBD and DGEA-SBE peptides showed a transition from small, unstable, uneven gel-like structures to large, stable, uniform, and functionally active scaffolds as the pH shifted from 3.0 to physiological pH. Comprehensive MD simulation studies demonstrated that these designed peptides exhibit increased aggregation and enhanced interpeptide hydrogen bonding while retaining their functional activity under various physiological conditions, highlighting their promising potential for biomedical applications.

Amyloid Mimicking Assemblies Formed by Glutamine, Glutamic Acid, and Aspartic Acid

The aggregation of amino acids into amyloid-like structures is a critical phenomenon for understanding the pathophysiology of various diseases, including inborn errors of metabolism (IEMs) associated with amino acid imbalances. Previous studies have primarily focused on self-assembly of aromatic amino acids, leading to a limited understanding of nonaromatic, polar amino acids in this context. To bridge this gap, our study investigates the self-assembly and aggregation behavior of specific nonaromatic charged and uncharged polar amino acids l-glutamine (Gln), l-aspartic acid (Asp), and l-glutamic acid (Glu), which have not been reported widely in the context of amyloid aggregation. Upon aging these amino acids under controlled conditions, we observed the formation of uniform, distinct aggregates, with Gln forming fibrillar gel-like structures and Glu exhibiting fibrous globular morphologies. Computational simulations validated these findings, identifying Gln as the most potent in forming stable aggregates, followed by Glu and Asp. These simulations elucidated the driving forces behind the distinct morphologies and stabilities of the aggregates. Thioflavin T assays were employed to confirm the amyloid-like nature of these aggregates, suggesting their potential cytotoxic impact. To assess toxicity, we performed in vitro studies on neural cell lines and in vivo experiments in Caenorhabditis elegans (C. elegans), which demonstrated measurable cytotoxic effects, corroborated by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide and heat shock survival assays. Importantly, this study fills a critical gap in our understanding on the role of nonaromatic amino acids in amyloidogenesis and its implications for IEMs. Our findings provide a foundation for future investigations into the mechanisms of diseases associated with amino acid accumulation and offer potential avenues for the development of targeted therapeutic strategies.

A colored hydrophobic peptide film based on self-assembled two-fold topology

Structural colors are abundant in nature and bear advantages over pigment-based colors, such as higher durability, brilliance and often physical hydrophobicity, thus underlying their vast potential for technological applications. Recently, biomimetics of complex natural topologies resulting in such effects has been extensively studied, requiring advanced processing and fabrication techniques. Yet, artificial topologies combining structural coloration and hydrophobicity have not been reported. Herein, we present the bottom-up fabrication of short self-assembling peptides as surface covering films, resulting in an easily achievable multilevel morphology of primary structures in a foam-like enclosure, producing structural colors and hydrophobicity. We demonstrate simple techniques allowing controlled coloration of different surfaces while maintaining an >100° water contact angle (WCA). The new artificial topology is much simpler than the natural counterparts and is not limited to a specific peptide, thus allowing the design of modular materials with unparalleled multifunctionalities and potential for further tuning and modifications.

Not only in silico drug discovery: Molecular modeling towards in silico drug delivery formulations

The use of methods at molecular scale for the discovery of new potential active ligands, as well as previously unknown binding sites for target proteins, is now an established reality. Literature offers many successful stories of active compounds developed starting from insights obtained in silico and approved by Food and Drug Administration (FDA). One of the most famous examples is raltegravir, a HIV integrase inhibitor, which was developed after the discovery of a previously unknown transient binding area thanks to molecular dynamics simulations. Molecular simulations have the potential to also improve the design and engineering of drug delivery devices, which are still largely based on fundamental conservation equations. Although they can highlight the dominant release mechanism and quantitatively link the release rate to design parameters (size, drug loading, et cetera), their spatial resolution does not allow to fully capture how phenomena at molecular scale influence system behavior. In this scenario, the "computational microscope" offered by simulations at atomic scale can shed light on the impact of molecular interactions on crucial parameters such as release rate and the response of the drug delivery device to external stimuli, providing insights that are difficult or impossible to obtain experimentally. Moreover, the new paradigm brought by nanomedicine further underlined the importance of such computational microscope to study the interactions between nanoparticles and biological components with an unprecedented level of detail. Such knowledge is a fundamental pillar to perform device engineering and to achieve efficient and safe formulations. After a brief theoretical background, this review aims at discussing the potential of molecular simulations for the rational design of drug delivery systems.

Molecular simulations of self-assembling bio-inspired supramolecular systems and their connection to experiments

In bionanotechnology, the field of creating functional materials consisting of bio-inspired molecules, the function and shape of a nanostructure only appear through the assembly of many small molecules together. The large number of building blocks required to define a nanostructure combined with the many degrees of freedom in packing small molecules has long precluded molecular simulations, but recent advances in computational hardware as well as software have made classical simulations available to this strongly expanding field. Here, we review the state of the art in simulations of self-assembling bio-inspired supramolecular systems. We will first discuss progress in force fields, simulation protocols and enhanced sampling techniques using recent examples. Secondly, we will focus on efforts to enable the comparison of experimentally accessible observables and computational results. Experimental quantities that can be measured by microscopy, spectroscopy and scattering can be linked to simulation output either directly or indirectly, via quantum mechanical or semi-empirical techniques. Overall, we aim to provide an overview of the various computational approaches to understand not only the molecular architecture of nanostructures, but also the mechanism of their formation.